Using AI technology in anti-money laundering (AML) processes has become critical for financial institutions as they work to comply with regulations and combat financial crime. Even so, a new AML ...

In an article published in Nature Machine Intelligence, an Australian team led by Monash University researchers has developed ...

Three books examine our complex and often fraught relationship with robots, AI, and automation.

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

FALLS CHURCH, Va., Feb. 24, 2025 (GLOBE NEWSWIRE) -- Cycurion, Inc. (NASDAQ: CYCU), a leader in advanced cybersecurity solutions, has announced an expansion of its partnership with a major national ...

Triglyceride-glucose index and its derivatives were independent predictors of all-cause and cardiovascular mortality in hypertension.

The National Center for Supercomputing Applications received funding from the U.S. National Science Foundation (NSF) to renew its annual Research Experience for Undergraduates (REU) program, the ...

One of the brightest minds in artificial intelligence, Mira Murati, has officially launched her next ambitious venture: ...

Research on climate policy is growing exponentially. Of the approximately 85,000 individual studies ever published on policy ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...